A Pilot Study Examining Access to and Satisfaction with Maternal Mental Health and Substance Use Disorder Treatment via Telemedicine.

Background: Mental health (MH) and substance use disorders (SUDs) are common during pregnancy and the postpartum year, and have a significant impact on maternal and child health. Most women do not receive treatment for these conditions due to barriers to care. Increasing access to these services via telemedicine is one potential solution to overcoming barriers, but it is unknown if this type of service is acceptable to women. The purpose of this study is to evaluate patient satisfaction with, and accessibility to, a maternal MH and SUD telemedicine service delivered to obstetric practices. Methods: The Telemedicine Satisfaction Questionnaire and the Questionnaire for Assessing Patient Satisfaction with Video Consultation were collected via online surveys. Responses were scored on a 5-point Likert scale, ranging from strongly disagree (1) to strongly agree (5). Paired t-tests were used to compare round trip travel time and distance between participants home and specialty clinic at an academic medical center versus their local obstetrics clinic where they received telemedicine services. Results: A total of 91.42% (32/35) of women agreed to take part in the study, and 43.75% (14/32) of women were living in a rural community. Patients reported high levels of satisfaction with the following: overall quality of care (mean [M] 4.66 [standard deviation, SD, 0.67]); similarity to face-to-face are (M 4.69 [SD 0.63]); and access to care (M 4.47 [SD 0.81]). Compared with in-person care at an academic medical center, women receiving care via telemedicine spent significantly less time (67.44 minutes vs. 256.31 minutes, p < 0.001) and distance (50.33 miles vs. 236.06 miles, p < 0.001) traveling round trip. Conclusions: Women receiving MH and SUD treatment via telemedicine within their obstetrician's office report high levels of satisfaction and increased access to care with this modality of treatment delivery. Telemedicine may provide one solution to removing barriers to care and mitigating the maternal and child risks associated with of untreated MH and SUDs.

Preliminary Development of Value Scorecards as ICU Telemedicine Evaluation Tools.

EXECUTIVE SUMMARY: Intensive care unit (ICU) telemedicine has grown exponentially to the point that approximately 10% of U.S. hospitals use such programs. However, no studies have focused on strategic decision tools in the context of rural hospitals. We applied the pervasive balanced scorecard framework and used a sequential, mixed methods design with qualitative and quantitative data sources. We then triangulated them to generate value scorecards for four rural South Carolina hospitals. Four domains, each with numerous components, were identified and compiled to create a composite value scorecard. Domains and numbers of components included organizational (n = 10), clinical (n = 5), financial (n = 8), and strategic (n = 3) effects of ICU telemedicine. When weighting each component within domains and then comparing across hospitals, we identified substantial variation in the relative value derived from ICU telemedicine. Our novel, multidimensional value scorecard could be prospectively applied by hospitals seeking a structured approach to decision-making for ICU telemedicine investments.

Determinants of Evidence-based Practice Uptake in Rural Intensive Care Units. A Mixed Methods Study.

Rationale: Evidence-based practices promote quality care for intensive care unit patients but chronic evidence-to-practice gaps limit their reach.Objectives: To characterize key determinants of evidence-based practice uptake in the rural intensive care setting.Methods: A parallel convergent mixed methods design was used with six hospitals receiving a quality improvement intervention. Guided by implementation science principles, we identified barriers and facilitators to uptake using clinician surveys (N = 90), key informant interviews (N = 14), and an implementation tracking log. Uptake was defined as completion of eight practice change steps within 12 months. After completing qualitative and quantitative data analyses for each hospital, site, staff, and program delivery factors were summarized within and across hospitals to identify patterns by uptake status.Results: At the site level, although structural characteristics (hospital size, intensivist staffing) did not vary by uptake status, interviews highlighted variability in staffing patterns and culture that differed by uptake status. At the clinician team level, readiness and self-efficacy were consistently high across sites at baseline with time and financial resources endorsed as primary barriers. However, interviews highlighted that as initiatives progressed, differences across sites in attitudes and ownership of change were key uptake influences. At the program delivery level, mixed methods data highlighted program engagement and leadership variability by uptake status. Higher uptake sites had better training attendance; more program activities completed; and a stable, engaged, collaborative nurse and physician champion team.Conclusions: Results provide an understanding of the multiple dynamic influences on different patterns of evidence-based practice uptake and the importance of implementation support strategies to accelerate uptake in the intensive care setting.

Implementation of an Academic-to-Community Hospital Intensive Care Unit Quality Improvement Program. Qualitative Analysis of Multilevel Facilitators and Barriers.

Rationale: Implementation of evidence-based best practices is influenced by a variety of contextual factors. It is vital to characterize such factors to maintain high-quality care. Patients in the intensive care unit (ICU) are critically ill and require complex, interdisciplinary, evidence-based care to enable high-quality outcomes. Objectives: To identify facilitators and barriers to implementation of an academic-to-community hospital ICU interprofessional quality improvement program, "ICU Innovations." Methods: ICU Innovations is a multimodal quality improvement program implemented between 2014 and 2017 in six community ICUs in rural settings serving underserved patients in South Carolina. ICU Innovations includes quarterly on-site seminars and extensive behind the scenes facilitation to catalyze the implementation of evidence-based best practices. We use qualitative analysis to identify contextual factors related to program implementation processes. Guided by an implementation science framework, the Exploration, Adoption/Preparation, Implementation, Sustainment framework, we conducted semistructured key informant interviews with clinician champions at six community ICUs and six parallel interviews with ICU Innovations' leadership. We developed a qualitative coding template based on the framework and identified contextual factors associated with implementation. Standard data on hospital and ICU structure and processes of care were also collected. Results: Outer and inner factors interconnected dynamically to influence implementation of ICU Innovations. Collaborative engagement between the program developers and partner sites (outer context factor) and site program champion leadership and staff readiness for change (inner context factors) were key influences of implementation. Conclusions: This research focused on rural hospital ICUs with limited or nonexistent intensivist leadership. Although enthusiasm for the ICU Innovations program was initially high, implementation was challenging because of multiple contextual factors. Critical steps for implementation of evidence-based practice in rural hospitals include optimizing engagement with external collaborators, maximizing the role of a committed site champion, and conducting thorough site assessments to ensure staff and organizational readiness for change. Identifying barriers and facilitators to program implementation is an on-going process to tailor and improve program initiatives.